Data & AI Strategy Knowledge Graph Engineer Consultant/Manager
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In this role you guide clients through the end-to-end AI journey, from opportunity discovery to strategy and execution. You work as a trusted bridge between business leaders and technical experts, shaping Data & AI transformations for Supply Chain & Operations. You will develop business cases, define KPIs, and measure impact while collaborating with cross-functional teams. The role offers growth through new offerings and business development, with a focus on scalable, data-driven value creation.
Compensaciones / BeneficiosMedical, Life, and Accident InsuranceWellness programsFlexible compensation and stock purchaseFlexibility programs (hours, days off, vacations)Individualized training itinerarySustainability programs and Accenture FoundationResponsabilidadesLead Data & AI transformation initiatives from opportunity to deployment in collaboration with technical teamsDefine and implement Data & AI strategies to transform Supply Chain & OperationsBridge business and technical stakeholders to ensure alignment and successful deliveryDesign and support data governance models ensuring data quality, availability, and complianceDevelop business cases and value frameworks, quantify impact, and support executive alignmentSupport business development through opportunity identification and tailored proposalsMentor junior team members and promote knowledge sharingRequisitos principales3+ years in Data & AI strategy, preferably in SC&O or related domainsExperience applying Data & AI to real business challenges in consulting or industrySolid knowledge of data governance, data management, xqziphu and AI lifecycleAbility to engage senior stakeholders and build trusted relationshipsExperience developing business cases, KPIs, and measuring impactAnalytical, structured problem-solving with a focus on value deliveryExcellent communication and presentation skillsTeam-oriented leadership and mentoring experienceFlexibility to work across multidisciplinary, global, fast-paced environmentsProficiency in Englishstakeholder managementcommunicationleadershipdata governancedata managementAI solution lifecycle
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